Python - Effect Size for Cochran's Q test

Instructional video on determining an effect size for a Cochran's Q test, using Python. Both a maximum corrected eta-square, and chance corrected correlation are discussed. Companion website: https://PeterStatistics.com Jupyter Notebook from video: https://peterstatistics.com/CrashCourse/5-ThreeVarPair/binary/MultipleBinaryPaired3c.html